AWS Data Engineer

Job Title: AWS Data Engineer
Contract Type: Contract
Location: Sydney
Reference: 375458
Contact Name: Sam
Contact Email: [email protected]
Job Published: April 16, 2020 13:46

Job Description

Strong AWS Data Engineers required for a large data platform build. 

Your responsibilities for the role will be:
  • Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
  • Creation and support of real-time data pipelines built on AWS technologies including Aurora, EMR, Glue, Kinesis, Redshift/Spectrum and Athena
  • Continual research of the latest big data, elasticsearch and visualization technologies to provide new capabilities and increase efficiency
  • Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
  • Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
Basic Qualifications
  • 5+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
  • Demonstrated strength in data modelling, ETL development, and data warehousing
  • Experience using big data technologies (Hadoop, Hive, Hbase, Spark etc.)
  • Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos etc.)
Preferred Qualifications
  • Degree/Diploma in computer science, engineering, mathematics, or a related technical discipline
  • Experience working with Talend ideal, AWS big data technologies (Aurora, S3, EMR)
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Familiarity with statistical models and data mining algorithms
Please forward CV to Samantha Garden